“Dr. Pearl’s work provided the original paradigm
case for how to do statistical AI. By placing
structured knowledge representations at the heart
of his work, and emphasizing how these representations enabled efficient inference and learning,
he showed the field of AI how to build statistical
reasoning systems that were actually telling us
something about intelligence, not just statistics.”

Limor Fix
Director, University Collaborative Research Group
Intel Labs

For more information see www.intel.com/research.

ACM, Intel, and Google congratulate
JUDEA PEARL
for fundamental contributions to artificial intelligence
through the development of a calculus for probabilistic
and causal reasoning.

“Judea Pearl is the most prominent advocate for probabilistic models in artificial intelligence. He developed
mathematical tools to tackle complex problems that
handle uncertainty. Before Pearl, AI systems had more
success in black and white domains like chess. But robotics, self-driving cars, and speech recognition deal with
uncertainty. Pearl enabled these applications to flourish,
and convinced the field to adopt these techniques.”

Alfred Spector
Vice President, Research and Special Initiatives
Google Inc.

For more information, see http://www.google.com/corporate/
index.html and http://research.google.com/.